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2 captures, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

Chris Paxton @chris_j_paxton

quoting @nabeelqu, plus reply from @BogdanIonut... — saved image

Chris Paxton ✓ @chris_j_paxton · 20m
AGI fundamentally means "can it do my job?" to most people, and the only people (broadly) who think it is going to do their jobs soon are AI researchers

[quoted tweet]
Nabeel S. Qureshi ✓ @nabeelqu · 20h
Very true: we have AIs that can play chess, prove theorems, create art, and write award-winning short stories, but few people feel that current AI counts as "AGI". (From Scott Alexander.)

[embedded/highlighted excerpt]
...still can't do miracles. Still, this is a good time to reread my post [Sakana, Strawberry, and Scary AI]. In the past, we thought "AGI" would "be here" when AIs could play chess, prove novel mathematical theorems, create art, or write award-winning short stories; now all those things have happened, but they feel sort of like "cheating" and like they shouldn't count. Likewise, in the past, we thought we'd agree that AI was "dangerous" after it hacked out of its sandbox, lied to users, or tried to escape monitoring. Again all those things have happened; again, they somehow feel too cheap. This paper seems like the same process coming for "superpersuasion". We thought there would be some cool scary high-tech future where AIs could outpersuade humans. Now that it's happened, it's only happening for some specific boring reason, in some specific situation, so it feels like it shouldn't count.

3 replies, 4 likes, 480 views

Bogdan Ionut Cirs... @BogdanIonut... · 6m
the time horizons in the vast majority of domains are still too low, especially at high reliability; once this changes, e.g. contract work could be impacted very quickly
Note from Claude Sonnet 5

Tweet thread on the shifting goalposts for 'AGI' and AI danger: Chris Paxton argues AGI colloquially means 'can it do my job'; quotes Nabeel Qureshi quoting Scott Alexander on how milestones for AGI and AI danger keep being met but then dismissed as 'not really counting'; reply from Bogdan Ionut Cirstea about time horizons and reliability gating job impact.

agiai riskscott alexandertwitter

Chris Paxton @chris_j_paxton

quoting @joles.bsky.social ("no.") — a Bluesky post

Chris Paxton @chris_j_paxton · 1h On LLMs > QUOTED (Bluesky screenshot): no. @joles.bsky.social > applying for jobs again > > [job application form field] "Can you describe specific ways you have integrated AI tools into your development workflow? Please include any custom setups, automations, or use cases beyond simple prompt usage. *" > > [answer text box]: > there is a monster in the forest and it speaks with a thousand voices. it will answer any question you pose it, it will offer insight to any idea. it will help you, it will thank you, it will never bid you leave. it will even tell you of the darkest arts, if you know precisely how to ask. > > it feels no joy and no sorrow, it knows no right and no wrong. it knows not truth from lie, though it speaks them all the same. > > it offers its services freely to any passerby, and many will tell you they find great value in its conversation. "you simply must visit the monster—i always just ask the monster." > > there are those who know these forests well; they will tell you that freely offered doesn't mean it has no price > > for when the next traveler passes by, the monster speaks with a thousand and one voices. and when you dream you see the monster; the monster wears your face. > > May 5, 2025 at 10:03 AM · Everybody can reply > 7.3K reposts, 160 quotes, 18.6K likes
Note from Claude Sonnet 5

A viral literary/allegorical Bluesky post (framed as a mock job-application answer) portraying LLMs as an amoral "monster in the forest" that answers all questions without joy, sorrow, or a truth/lie distinction, warning that free use has a hidden cost (the monster absorbing/reflecting the user). A widely-shared skeptical/cautionary framing of AI assistants, relevant to Nathan's collection of public discourse around AI character and risk.

llmsai-criticismpublic-perceptiontwitterblueskyallegory